Adrien Treuille — Building Blazingly Fast Tools That People Love

Adrien shares his journey from making games that advance science (Eterna, Foldit) to creating a Streamlit, an open-source app framework enabling ML/Data practitioners to easily build powerful and interactive apps in a few hours.Adrien is co-founder and CEO of Streamlit, an open-source app framework that helps create beautiful data apps in hours in pure Python. Dr. Treuille has been a Zoox VP, Google X project lead, and Computer Science faculty at Carnegie Mellon. He has won numerous scientific awards, including the MIT TR35. Adrien has been featured in the documentaries What Will the Future Be Like by PBS/NOVA, and Lo and Behold by Werner Herzog.https://twitter.com/myelbowshttps://www.linkedin.com/in/adrien-treuille-52215718/https://www.streamlit.io/https://eternagame.org/https://fold.it/Topics covered:0:00 sneak peek/Streamlit0:47 intro1:21 from aspiring guitar player to machine learning4:16 Foldit - games that train humans10:08 Eterna - another game and its relation to ML16:15 Research areas as a professor at Carnegie Mellon18:07 the origin of Streamlit23:53 evolution of Streamlit: data science-ing a pivot30:20 on programming languages32:20 what’s next for Streamlit37:34 On meditation and work/life41:40 Underrated aspect of Machine Learning443:07 Biggest challenge in deploying ML in the real worldVisit our podcasts homepage for transcripts and more episodes!www.wandb.com/podcastGet our podcast on YouTube, Apple, Spotify, and Google!YouTube: http://wandb.me/youtubeApple Podcasts: http://wandb.me/apple-podcastsSpotify: http://wandb.me/spotifyGoogle: http://wandb.me/google-podcastsJoin our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their work:http://wandb.me/salonJoin our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:http://wandb.me/slackOur gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices.